Price Monitoring
Compare prices fairly, act on real gaps.
Price Monitoring
Operations & E-commerce
- RuleDone:
You pick the products to track and the offers to watch.
- RuleDone:
It reads each price on schedule, from official APIs first.
- RuleDone:
A person confirms that two offers are truly the same item.
- RuleDone:
It works out the delivered price per unit, using a dated exchange rate.
- RuleDone:
Odd jumps are checked again before anyone is alerted.
- PersonWaiting for approval:Waiting for you
Real gaps send an alert; optional price suggestions wait for approval.
For example: An online kitchenware shop tracks 80 products.
Waiting for you. Nothing has changed yet.
Review for important actions. Customer-facing and record-changing actions are reviewed first.
What is Price Monitoring?
In shortPrice Monitoring is an AI automation for Operations & E-commerce teams that works with Amazon (Selling Partner), eBay, Gmail, Google Merchant, Shopify and Slack. Tracks competitor and supplier prices for your key products, compares only true like-for-like offers, and alerts you when a meaningful price gap opens. It is built for E-commerce sellers, retail managers, procurement and purchasing teams and pricing owners.
Last reviewed
Key facts
- Department
- Operations & E-commerce
- Starts when
- On a schedule (every 12 hours, key items every 4 hours), or when a supplier price list arrives
- Works with
- Amazon (Selling Partner), eBay, Gmail, Google Merchant, Shopify, Slack
- Run modes offered
- Shadow, Draft, Assisted and Auto
- Human control
- Review for important actions
- Status
- Available now
The problem today
Someone checks 20–200 product pages by hand each week in a spreadsheet. Mistakes happen when a 6-pack is compared with a single, used with new, or a price without shipping.
What it does
It reads prices from allowed web pages, Amazon and supplier lists. A person confirms each new product match once. After that, it compares the full delivered price per unit, in the same currency. When a gap or a big drop opens, your team gets an alert with the evidence. If you turn it on, it can also suggest a new price for your own store, which a pricing owner must approve.
How does Price Monitoring work?
How it works- Rule you set
- AI step
- A person decides
- Step 1Rule
You pick the products to track and the offers to watch.
- Step 2Rule
It reads each price on schedule, from official APIs first.
- Step 3Rule
A person confirms that two offers are truly the same item.
- Step 4Rule
It works out the delivered price per unit, using a dated exchange rate.
- Step 5Rule
Odd jumps are checked again before anyone is alerted.
- Step 6Person
Real gaps send an alert; optional price suggestions wait for approval.
What you get
Key features- Like-for-like matching on brand, model number, pack size and condition
- Delivered price per unit, including shipping and tax basis
- Gap, price-drop, supplier-increase and MAP-violation alerts
- Holds suspicious spikes (40%+) for one more check
- Optional repricing suggestions that never go below your cost floor or MAP
- Weekly digest of blocked pages and parse problems
How much does it do on its own?
Run modesPick a mode to see what Price Monitoring would do at each step.
Every automation starts in Shadow. Move it up when you are ready, and back down at any time. How run modes work
Price Monitoring in Shadow
Runs on real data and shows what it would have done. No app is changed and no message is sent.
- Rule
You pick the products to track and the offers to watch.
Watches for it
- Rule
It reads each price on schedule, from official APIs first.
Runs on real data, read only
- Rule
A person confirms that two offers are truly the same item.
Runs on real data, read only
- Rule
It works out the delivered price per unit, using a dated exchange rate.
Runs on real data, read only
- Rule
Odd jumps are checked again before anyone is alerted.
Runs on real data, read only
- Person
Real gaps send an alert; optional price suggestions wait for approval.
Shown to you as a suggestion
Shadow vs Auto for Price Monitoring
Auto is the most it can do on its own. Here is each step side by side.
| Step | Shadow | Auto |
|---|---|---|
| In short | Runs on real data and shows what it would have done. No app is changed and no message is sent. | Runs without approval, with limits, alerts and a kill switch. Unlocks after a trial period in Assisted. |
| Step 1You pick the products to track and the offers to watch. | Watches for it | Runs on its own within your limits |
| Step 2It reads each price on schedule, from official APIs first. | Runs on real data, read only | Runs on its own within your limits |
| Step 3A person confirms that two offers are truly the same item. | Runs on real data, read only | Runs on its own within your limits |
| Step 4It works out the delivered price per unit, using a dated exchange rate. | Runs on real data, read only | Runs on its own within your limits |
| Step 5Odd jumps are checked again before anyone is alerted. | Runs on real data, read only | Runs on its own within your limits |
| Step 6Real gaps send an alert; optional price suggestions wait for approval. | Shown to you as a suggestion | Within your limits; anything outside them goes to a person |
| True in every mode | Your own store price only changes after a pricing owner approves, in every mode. | |
What it will never do on its own
Safety & human control- Your own store price only changes after a pricing owner approves, in every mode.
- Never prices below cost × (1 + minimum margin) or below MAP.
- Unconfirmed matches never trigger alerts.
- Never shares your prices with anyone and has no "match others" feature.
- Respects site terms and robots.txt; no bot-protection tricks.
- You approve before it acts
- Your data stays yours
- It knows its limits
- Stop anytime
What will you see on your dashboard?
Results you can trackTargets are quality goals the automation is built to reach. Estimates are calculated from your own volumes.
- Tracked
Price position index (your delivered price vs the median competitor)
Measured on your own data
- Tracked
Gap alerts acted on, margin protected by floors, supplier increases caught
Measured on your own data
- Target
Match precision ≥ 95% (target)
A goal it is built to reach
- Target
Pack size reading ≥ 95% (target)
A goal it is built to reach
- Target
Alert precision ≥ 80% (target)
A goal it is built to reach
- Target
Floor breaches: 0 (target)
A goal it is built to reach
An online kitchenware shop tracks 80 products. A rival drops a blender 12% below the shop's delivered price for two checks in a row. The owner gets a Slack alert, then approves a suggested price that stays above her margin floor.
Who is Price Monitoring for?
- E-commerce sellers
- Retail managers
- Procurement and purchasing teams
- Pricing owners
Industries: E-commerce & retail, Manufacturing & distribution, Hospitality & restaurants
Also useful for: Finance & Accounting
Connects to the apps you already use
Works withApp names are trademarks of their owners. Charviam connects to them; it is not a partner or reseller.
- Amazon (Selling Partner)
- eBay
- Gmail
- Google Merchant
- Shopify
- Slack
Better together
Automations that hand work to Price Monitoring, or pick up where it stops.
What do you need to set it up?
Setup- Connect Shopify or Amazon (read access; write access only if repricing is on)
- Products with pack units, cost and MAP; offers to watch
- Confirm the retailer sites you list allow monitoring
- Choose alert thresholds, recipients, owners and pricing owners
- Turn repricing on or off (off by default)
Typical setup
- 01Connect your apps
- 02Configure the rules
- 03Run a watch-only trial
- 04Go live
Not included
- Automatic repricing
- Prices behind logins, or on sites whose terms forbid it
- Commodity index tracking (metals, crude)
Questions about Price Monitoring
FAQSee Price Monitoring on your own data
WalkthroughIt starts in Shadow, where it only watches and suggests, so nothing changes in your apps until you say so.